Tweets and votes : A four-country comparison of volumetric and sentiment analysis approaches

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016)
Place of PublicationPalo Alto, California
PublisherAAAI press
Pages507-510
ISBN (Print)9781577357582
Publication statusPublished - May 2016

Conference

TitleThe10th International AAAI Conference on Web and Social Media (ICWSM 2016)
PlaceGermany
CityCologne
Period17 - 20 May 2016

Abstract

This study analyzes different methodological approaches followed in social media literature and their accuracy in predicting the general elections of four countries. Volumetric and unsupervised and supervised sentiment approaches are adopted for generating 12 metrics to compute predicted vote shares. The findings suggest that Twitter-based predictions can produce accurate results for elections, given the digital environment of a country. A cross-country analyses helps to evaluate the quality of predictions and the influence of different contexts, such as technological development and democratic setups. We recommend future scholars to combine volume, sentiment and network aspects of social media to model voting intentions in developing societies.

Research Area(s)

  • social media, Twitter, elections, predictions

Citation Format(s)

Tweets and votes : A four-country comparison of volumetric and sentiment analysis approaches. / Ahmed, Saifuddin; Jaidka, Kokil; Skoric, Marko M.

Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016). Palo Alto, California : AAAI press, 2016. p. 507-510.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review